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Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation

2008 master's thesis by Andrew Stephen Richens at University of Canterbury
CreativeWork master_s_thesis Q112878129
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Summary

Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation is a master's thesis[1].

Key Facts

  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's instance of is recorded as master's thesis[2].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation was published by UC Research Repository[3].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's language of work or name is recorded as English[4].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's country of origin is recorded as New Zealand[5].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation was released on 2008[6].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's main subject is statistics[7].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's title is recorded as Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation[8].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's author name string is recorded as Andrew Stephen Richens[9].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's thesis submitted to is recorded as University of Canterbury[10].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's on focus list of Wikimedia project is recorded as NZThesisProject[11].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's copyright status is recorded as copyrighted[12].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's online access status is recorded as open access[13].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's thesis committee member is recorded as Dominic Lee[14].
  • Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's thesis submitted for degree is recorded as Master of Science[15].

Body

Designation and Status

Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation's instance of is recorded as master's thesis[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation. Retrieved October 14, 2026, from https://4ort.xyz/entity/detecting-change-points-in-time-series-using-the-bayesian-approach-with-perfect-simulation
MLA “Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 14 Oct. 2026, https://4ort.xyz/entity/detecting-change-points-in-time-series-using-the-bayesian-approach-with-perfect-simulation.
BibTeX @misc{4ortxyz_detecting-change-points-in-time-series-using-the-bayesian-approach-with-perfect-simulation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-change-points-in-time-series-using-the-bayesian-approach-with-perfect-simulation}, note = {Accessed: 2026-10-14}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting Change Points in Time Series Using the Bayesian approach with Perfect Simulation — https://4ort.xyz/entity/detecting-change-points-in-time-series-using-the-bayesian-approach-with-perfect-simulation (retrieved 2026-10-14)

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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 5w ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Thesis submitted for degree → Master of Science
    Author name string → Andrew Stephen Richens
    Thesis submitted to → University of Canterbury
    Handle id → 10092/1808
    + 14 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52330|batch #52330]]: Canterbury"
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